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<h2>Support for Function lo()</h2>


<h3>Description</h3>

<p>
This is support for the <code>loess</code> function <code>lo()</code>.
It is not intended to be called directly by users. The function <code>gamlss.lo</code> is based on the R function <code>loess</code>
</p>


<h3>Usage</h3>

<pre>
gamlss.lo(x, y, w = NULL, span, df = NULL, degree = 1, ncols =
                 FALSE, wspan = TRUE, parametric = FALSE, drop.square
                 = FALSE, normalize = FALSE, family = "gaussian",
                 method = "loess", control = loess.control(...), xeval
                 = NULL, ...)
</pre>


<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>x</code></td>
<td>
the design matrix</td></tr>
<tr valign="top"><td><code>y</code></td>
<td>
the response variable</td></tr>
<tr valign="top"><td><code>w</code></td>
<td>
prior weights</td></tr>
<tr valign="top"><td><code>span</code></td>
<td>
the smoothing parameter</td></tr>
<tr valign="top"><td><code>df</code></td>
<td>
effective degrees of freedom </td></tr>
<tr valign="top"><td><code>degree</code></td>
<td>
the order of the polynomial</td></tr>
<tr valign="top"><td><code>ncols</code></td>
<td>
the number of columns of the x matrix</td></tr>
<tr valign="top"><td><code>wspan</code></td>
<td>
argument for the <code>loess</code> function not to use here</td></tr>
<tr valign="top"><td><code>parametric</code></td>
<td>
argument for the <code>loess</code> function not to use here</td></tr>
<tr valign="top"><td><code>drop.square</code></td>
<td>
argument for the <code>loess</code> function not to use here</td></tr>
<tr valign="top"><td><code>normalize</code></td>
<td>
argument for the <code>loess</code> function not to use here</td></tr>
<tr valign="top"><td><code>family</code></td>
<td>
argument for the <code>loess</code> function not to use here</td></tr>
<tr valign="top"><td><code>method</code></td>
<td>
argument for the <code>loess</code> function not to use here</td></tr>
<tr valign="top"><td><code>control</code></td>
<td>
argument for the <code>loess</code> function not to use here</td></tr>
<tr valign="top"><td><code>xeval</code></td>
<td>
used in prediction </td></tr>
<tr valign="top"><td><code>...</code></td>
<td>
further arguments passed to or from other methods.</td></tr>
</table>

<h3>Value</h3>

<p>
Returns an object with 
</p>
<table summary="R argblock">
<tr valign="top"><td><code>fitted</code></td>
<td>
the smooth values</td></tr>
<tr valign="top"><td><code>residuals</code></td>
<td>
the residuals</td></tr>
<tr valign="top"><td><code>var</code></td>
<td>
the variance of the smoother</td></tr>
<tr valign="top"><td><code>nl.df</code></td>
<td>
the non-linear degrees of freedom</td></tr>
<tr valign="top"><td><code>coefSmo</code></td>
<td>
with value NULL</td></tr>
<tr valign="top"><td><code>lambda</code></td>
<td>
the value of span</td></tr>
</table>

<h3>Author(s)</h3>

<p>
Mikis Stasinopoulos based on Brian Ripley loess function in R
</p>


<h3>See Also</h3>

<p>
<code><a href="gamlss.html">gamlss</a></code>, <code><a href="lo.html">lo</a></code>
</p>



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